Using images to inspire and engage our future scientists.

Alex Farrer, one of our Scientists in Residence, looks at ways images can be used both inside and outside the classroom.

The Wellcome Trust is a global charitable foundation that supports scientists and researchers to work on challenges such as the development of Ebola vaccines and training health workers in ways to reduce the risk of infection when working on the front line. What you might not realise about the Wellcome Trust is that they also invest over £5million each year in education research, professional development opportunities and resources and activities for teachers and students. A key part of their science education priority area is primary science and they have a commitment to improving the teaching of science in primary schools through compiling research and evidence for decision making, campaigning for policy change and making recommendations for teachers and governors. Their aim is to transform primary science through increasing teaching time, sharing expertise and high quality resources, and supporting professional development opportunities such as the National STEM Learning Centre.

One of the excellent resources that the Wellcome Trust provides is Explorify, a free digital resource, developed with help from teachers and partners such as BBC Learning and the Institution of Engineering and Technology that is “focused on inquiry and curiosity, designed to appeal to children but also ignite or reinvigorate teachers’ passion for science”.

The resource can be found here https://explorify.wellcome.ac.uk

It consists of fun and simple science activities that utilise teaching and learning techniques that give pupils and teachers rich opportunities to question, think, talk and explore STEAM subjects inside and outside the classroom. Confidence and passion is harnessed as links are made and pupils and teachers can see that STEAM knowledge and skills connect us all. They say that a picture is worth a thousand words and Explorify uses images to great effect with videos, photographs and close ups, as well as hands on activities and what if discussion questions.

Explorify is an excellent tool to use in science lessons, especially in primary settings, but many outstanding lessons use different images in a variety of ways to promote talking and thinking in all subject areas, with all age groups. When images are used higher order questioning can be developed and there are also many opportunities to

  • use subject specific vocabulary
  • explain and justify
  • work together
  • ask questions
  • think about different possible answers
  • identify misconceptions
  • look for connections
  • generate further lesson ideas
  • model thinking
  • listen to each other

Common examples of questions to ask when using images might include

  • odd one outs
  • true/falses
  • similarities and differences
  • sequencing
  • what happened next…

All of which involve reflection and asking pupils to justify their answers and persuade others using evidence and examples.

Some less usual examples for you to ponder on include the following:

What is this?

 

 

Come up with a question that can only be answered yes or no to help work out what it is. Once 8 questions have been answered it is time to decide your answer using the evidence you have gathered. Which question was most useful in finding out the answer?

 

 

 

What is this?

 

 

Be specific! Are you sure of your answer? Come up with a 5 convincing bullet points to persuade everyone you are correct. Do you change your mind when you hear the ideas of others?

 

 

 

This is the answer:

 

 

What is the question? What do you already know about what is happening here?

 

 

 

 

Scientific words?

 

 

Which 5 keys words would you choose inspired by this image? Have you chosen the same words as others have? Where was this photograph taken?

 

 

 

 

What should the title be for this lesson?

 

 

Return at the end of the lesson to your title. Was it the correct title? Do you now need to alter it?

 

 

 

 

Are polar bears good swimmers?

 

 

Are polar bears good enough swimmers for 2018? What time of year was this photograph taken?

As well as in lessons images and questions can be used around the school to promote talking and thinking with all members of the school community.

 

 

How many metres per minute does a fly move?

 

 

Is it possible to check your estimate?

 

 

 

 

For more details and examples please see a copy of the presentation entitled Using images to inspire and engage our future scientists that I delivered at the Primary Science Teaching Trust Conference in Belfast.

https://pstt.org.uk/what-we-do/international-primary-science-conference

We are now working on exciting new resource for PSTT utilising images to inspire and engage pupils in conjunction with schools in SW London and with Paul Tyler @glazgow and schools in Scotland. If you have any inspiring images and questions please do send them in!

We look forward to continuing to inspire and engage the scientists of the future as our STEAM journey at Wimbledon High continues.

Follow us on @STEAM_WHS    

Artificial Intelligence and the future of work

By Isabelle Zeidler, Year 7.

What is AI, and how will it change our future?

Firstly, so that AI works, there are three key requirements: data, hardware and algorithms. An example of data are the words in a dictionary saved on a computer. You need this because otherwise Google Translate won’t work. Hardware is necessary so that the computer is able to store data. Lastly, algorithms are what many of us know as programming; the function so that we can do something with our data.

The history of AI is longer than we imagine; we have used AI since 1950. Machine Learning (ML) is a kind of AI. We have used ML since 1980. The most modern kind of ML, AI is Deep Learning (DL). Many of us do not know about this, but a lot of us know the companies that use it. One of the most advanced companies in DL are Google and IBM Watson. So why is DL so amazing? ML has some kind of coding of rules given by programmers. DL learns these rules by observation. This is similar to what happens when babies learn to speak – they rely on observing others.

There are four amazing skills which AI can do:

  • computer vision
  • natural language processing
  • complex independent navigation
  • machine learning

Not all AI use all of these abilities. Some examples of computer vision would include the new passport control at the airport. Another example which is very popular is face recognition in an iPhone X or Surface Pro. The second skill is natural language processing. This is the ability to understand language. A relevant example is Alexa. In the future, some call centres will also use AI’s ability to understand language (it has already started). For example, when you call a bank, a robot will be able to answer even complex inquiries, not just tell you the account balance. Complex independent navigation examples are modern technology ideas like drones and planes.

Do you think that AI may soon even be better than humans?

Well, it is happening already. When focusing on image recognition and accuracy, some scientists compared machines with humans. Human’s accuracy is at 97%. But AI’s accuracy has changed dramatically. Eight years ago, machines were 65% accurate. In 2016, machines were equal to humans, both 97%. Today, in 2018, machines are even better than humans. This is why AI is very likely to change our world, positively and negatively. Some positive examples are that AI powered machines can understand many languages, can speak many different accents, are never tired or grumpy and may be cheaper.

In 1997, IBM Watson made the start to a big step in AI. For the first time, a machine won against a human in chess. A programmer programmed all the moves, and the robot didn’t need AI, let alone ML and DL. 19 years later, another exciting game was played. In an even more complex game than chess, the Japanese game ‘Go’, a robot won against world champion Lee Sedol. In the game ‘Go’, however, Google faced a big problem. Go has too many possible moves to programme. So, Google programmers used AI: they programmed the rules and objective of the game and based on that AI won. Later, AlphaGo lost against AlphaGo0. Both robots used AI but AlphaGo0 was even more advanced. AlphaGo0 learnt the rules by observing AlphaGo.

Will AI powered machines replace workers?

How much time could be saved by using AI in the future? McKinsey compared which skills that humans have will be easiest to replace in the future. The skills which would be easy to replace include predictable physical work (building cars is already being replaced) and collecting and processing data (because this is what robots do all the time, such as calculator). On the other hand, the four activities which would not be easily replaced are management, expertise (applying judgement), interface (interacting with people) and unpredictable physical work (e.g. caretakers). The research group discovered that less than 10% of jobs can be fully automated, but more than 50% of work activities can be automated.

What will the future look like?

The following jobs will be in high demand: care providers, educators, managers, professionals and creatives. So, if you were interested in being doctors, teachers, scientists, engineers, programmers or artists, you are less likely to be replaced by robots. AI will also take away jobs, however such as customer interaction and office support. Waiters and IT helpdesks will not be so promising careers anymore (robots will fix robots!).

There are three main reasons why these jobs will be automated: save costs, provide better customer services and offer entirely new skills. The main reason is better services. Saving costs also plays a big role, e.g. for building cars.  And oil and gas islands will be taken over by robots because it is less dangerous for robots, who can go to most places.

In conclusion, AI is already taking over some elements of jobs. As the technology progresses, however, many more jobs may be automated.

The safest jobs are the ones with social skills.

(source: report by Susan Lund from McKinsey: https://www.mckinsey.com/~/media/McKinsey/Global%20Themes/Future%20of%20Organizations/What%20the%20future%20of%20work%20will%20mean%20for%20jobs%20skills%20and%20wages/MGI-Jobs-Lost-Jobs-Gained-Report-December-6-2017.ashx )

Follow @STEAM_WHS on Twitter

Engineering – Take a closer look

Alex Farrer, one of our Scientists in Residence, looks at the value of science capital and the potential that this can have on future careers in the sciences.

Engineering 2018

2018 is the Year of Engineering – a government campaign to support the engineering profession in recruiting tomorrow’s engineers. Over the last 30 years efforts to attract girls and women into engineering have been unsuccessful. Currently less than 1 in 8 of the engineering workforce is female; boys are 3.5 times more likely to study A level Physics than girls; and boys are five times more likely to gain an engineering and technology degree (Engineering UK 2017).

Our STEAM focus at Wimbledon High provides insights into a variety of opportunities in engineering and in related areas such as design, sports, medicine and computer science. Through STEAM we strive to broaden what counts as science and help build the skills that future employers will value highly such as communication, problem solving and adaptability. We aim to encourage all pupils from Reception to Year 13 to think that STEAM is relevant and important to their lives, both now and in the future, and aim to build their science capital.

A national survey of young people aged between 11 and 15 found that 5% had a high level of science capital (ASPIRES projects).

Professor Louise Archer from UCL Institute of Education, directs the ASPIRES projects and has developed the concept of science capital which refers to someone’s science related qualifications, understanding, knowledge, interests, attitudes and contacts.

The Science Capital Teaching Approach aims to build on the existing science capital of pupils, encourage engagement with science and promote social justice.

If you have a high science capital you might:

  • watch scientific TV programmes
  • have science qualifications
  • enjoy reading popular science books
  • have friends and relatives that work in science and engineering professions
  • visit science museums and fairs
  • engage in science related hobbies or activities
  • talk about science and engineering news topics with people you know

The evidence from this research project shows that the more science capital a pupil has the more they will aspire to continue with sciences post-16 and see science and engineering as fulfilling roles.

Below are some suggestions that schools could consider to build the science capital of pupils and adults in their communities so that everyone sees science and engineering as something of value.

  1. Host a family STEAM challenge event. This will help to encourage science talk with family members and show that STEAM is for everyone in the school community.
  2. Encourage science and engineering activities to “pop up” in the playground. Pupils, parents or staff could run the activities and the high visibility will encourage all members of the school community to get involved.
  3. Celebrate interest in scientific TV programmes and films. For example show a screening of a film like Hidden Figures with scientists or historians on hand to answer any questions, or encourage staff and pupils to talk about the science on TV they have seen.
  4. Signpost STEAM books, magazines and events to staff and pupils. An example is Itch by Simon Mayo, which contains a great deal of chemistry, and there are also some excellent science magazines such as Whizz Pop Bang and BBC Focus that can be linked to lesson content.
  5. Think about ways to get families talking about STEAM homework that is set. Linking tasks to science or technology in the news will encourage talk as will setting tasks where help from adults is very much encouraged such as making a marble run, growing a mystery seed or taking a STEAM photograph.
  6. Find out the sorts of science interests, hobbies, and expertise pupils and their families have so that lessons and assemblies can be personalised. Setting a “Science and me” homework will heWHS Gymnasticlp to discover how many parents and pupils you have in your class with scientific interests and skills.
  7. Elicit and value the wider links that pupils have to science and engineering and draw upon them in lessons. For example using the experience of a gymnast in your class in a physics lesson will enable pupils to broaden what they thinks counts as science in their life.
  8.  Invite scientists and engineers that pupils will relate to into lessons and encourage them to talk about the skills and attributes they use. This could be a parent who uses STEAM skills in their job, a STEM Ambassador or someone who has relevant interest and knowledge. Even better if the scientist or engineer visits a lesson other than science! @STEMAmbassadors

Science lesson Wimbledon

If you are a primary teacher and would like to find out more about how you can build science capital in your school we will be hosting a Science Capital Workshop on February 7th 1.30-3.30pm. Please contact joanna.sandys@wim.gdst.net if you would like to come along.

If any parents with STEAM expertise would enjoy sharing some of their knowledge, skills and insights with our pupils please do let antonia.jolly@wim.gdst.net know and we will be in touch.

We look forward to enriching the science capital of our community in this exciting Year of Engineering as our STEAM journey continues.

Follow @STEAM_WHS on Twitter – #YoE

Why being bad at Maths just doesn’t add up

By Helena Rees, Head of Maths.

Many still see people who are good at maths as slightly weird, geeky, uncool. Why is this? Why should we study maths?

A couple of years ago Professor Brian Cox hosted ‘A Night with the Stars’ on the BBC. From the lecture theatre of the Royal Institution, he undertook to explain among other things how diamonds are made up of nothingness and how things can be in an infinite number of places at once. He took the audience, made up of famous faces, celebrities and scientists, through some of the most challenging concepts in physics, using maths and science experiments as he went along. It was a truly fascinating programme and if nothing else demonstrated the power of numbers and the speed with which they can make a grown man cry. Jonathan Ross (43 mins approx) was invited to assist Brian Cox in a maths calculation using standard form. The look of sheer panic on Ross’s face, followed by him saying, “This is the worst thing that’s happened to me as an adult” and “I’m sweating”, just about sums up many people’s attitude towards maths.

Mrs Duncan spoke to the whole school this week and used this example. Imagine going out for dinner with six friends and the bill comes. When the time comes to split the bill between seven, the bill is shuffled to the maths teacher or accountant with a slightly shame-faced look saying, “I am rubbish at maths” or “I couldn’t do maths at school”. Imagine, however, that same group of people sitting down to order and someone asking for the menu to be read out because they can’t read it. Few will admit that they can’t read as the stigma of this would be hugely embarrassing. Yet no such reservations exist for maths with individuals almost boasting about their lack of maths ability. Why is this?

Many still see people who are good at maths as slightly weird, geeky, uncool. A PhD in Maths or Physics at the end of a name tends to conjure up images of social awkwardness — people more to be pitied. On the whole surveys of attitudes over the past 50 years have shown that the cultural stereotype surrounding ‘scientist and mathematician’ has been largely consistent — and negative. However, things are changing, in November 2012, President Obama held a news conference to announce a new national science fair. “Scientists and engineers ought to stand side by side with athletes and entertainers as role models, and here at the White House, we’re going to lead by example,” he said. “We’re going to show young people how cool science can be.” The idea that scientists, mathematicians and engineers could attain iconic status is exciting.

The popularity of television shows such as ‘Think of a Number, ‘Countdown’ and more recently the use of numbers in ‘Numb3rs’, and ‘How Do They Do That?’ have boosted the public’s perception of Maths. CSI has done more for boosting number of students of forensic science than any careers fair. The Telegraph recently reported that students who had a Maths A Level earned on average £10,000 more than a student without. Perhaps statistics like these would encourage more students to take the subject seriously. A report by think-tank Reform estimates that the cost to the UK economy between 1990 and 2008 of not producing enough home-grown mathematicians was £9 billion, such is the value of maths expertise to business.

Marcus du Sautoy, second holder of the Charles Simonyi Chair in the Public Understanding of Science at the University of Oxford says he can’t understand the pride there is in being bad at Maths. “It’s bizarre why people are prepared to admit that because it’s an admission that you can’t think logically. Maths is more than just arithmetic. I would rather do business with someone who admits they’re good at Maths. You don’t get that in the Far East. In Korea or China they’re really proud of being good at Maths because they know the future of their economies depend on it, their finances depend on it. Mobile phones, the internet, Playstations and Google all depend on Maths,” he says. “If people realised that, then they wouldn’t poke fun at it so easily. In today’s information age, Mathematics is needed more than it ever was before – we need Maths. Problem solving skills are highly prized by employers today. There is an increasing need for Maths and the first step needed is a change in our attitudes and beliefs about Maths.”

It is true that many of us will not do another quadratic equation or use trigonometry in our daily lives. However, Mathematics is more than just the sum of subject knowledge. The training to become a scientist or an engineer comes with a long list of transferable skills that are of enormous value in the ‘outside world’. Communication skills, analytical skills, independence, problem-solving skills, learning ability — these are all valuable and at the top of Bloom’s taxonomy. But scientists, mathematicians and engineers tend to discount these assets because they are basic requirements of their profession. They tend to think of themselves as subject-matter experts rather than as adaptable problem solvers.

We have all heard of Pythagoras and his famous theorem. The theorem states that the sum of the squares on the two shorter sides of a right angle triangle sum to the square on the hypotenuse, more commonly shortened to a2 + b2 = c2. In 1637 Pierre de Fermat postulated that no three positive integers a, b, and c satisfy the equation an + bn = cn for any integer value of n greater than 2. For example to a3 + b3 = c3 After his death, his Fermat’s son found a note in a book that claimed Fermat had a proof that was too large to fit in the margin. It was among the most notable theorems in the history of mathematics and prior to its proof, it was in the Guinness Book of World Records as the “most difficult mathematical problem”.
(https://plus.maths.org/content/fermats-last-theorem-and-andrew-wiles ) However, in 1994 Andrew Wiles, published a proof after 358 years of effort by Mathematicians. The proof was described as a ‘stunning advance’ in the citation for his Abel Prize award in 2016. You can watch an interview with Andrew Wiles by Hannah Fry where he was interviewed this week in the London Public Lecture Series organised by Oxford University.

In a recent article Wiles commented “What you have to handle when you start doing Mathematics as an older child or as an adult is accepting the state of being stuck. People don’t get used to that. They find it very stressful.” He used another word, too: “afraid”. Even people who are very good at Mathematics sometimes find this hard to get used to. They feel they’re failing. “But being stuck, isn’t failure. It’s part of the process. It’s not something to be frightened of. Then you have to stop. Let your mind relax a bit…. Your subconscious is making connections. And you start again—the next afternoon, the next day, the next week.”

Patience, perseverance, acceptance—this is what defines a Mathematician.

Hilary Mantel, novelist and writer of Wolf Hall writes “If you get stuck, get away from your desk. Take a walk, take a bath, go to sleep, make a pie, draw, listen to music, meditate, exercise; whatever you do, don’t just stick there scowling at the problem. But don’t make telephone calls or go to a party; if you do, other people’s words will pour in where your lost words should be. Open a gap for them, create a space. Be patient” Perhaps Mathematicians and novelists are so different after all?

When it comes to Mathematics people tend to believe that this is something you’re born with, and either you have it or you don’t and this is the common refrain at parents evenings. But that’s not really the experience of Mathematicians. We all find it difficult. It’s not that we’re any different from someone who struggles with Mathematics problems in junior school…. We’re just prepared to handle that struggle on a much larger scale. We’ve built up resistance to those setbacks. A common comment on parents evening is to delegate the Maths homework to dad as that is ‘his thing’. What message does this give our girls of today? That this is a subject that boys are good at.

Luckily for us here at Wimbledon High School we have a strong culture of doing well in Maths. We have excellent results at iGCSE and there are over 50 girls this year in year 12 alone studying some form of post 16 Mathematics qualification with a view to a STEM career. The new Steam room is an exciting initiative to be part of. A recent article in the National Centre for the Excellence in Teaching of Mathematics journal, asked how can we get more girls to study A Level Maths. The answer at WHS? Keep doing what we are doing well and continue to be excited and positive about the beauty and the magic of numbers.

 

STEAM

By Alex Farrer, Scientist in Residence.

Since the launch of our STEAM (Science, Technology, Engineering, Arts and Maths) space in September, STEAM lessons, activities, clubs and assemblies have been delivered by the new Scientist in Residence team. This has created a buzz of curiosity around the school and enabled “STEAM” to be injected into the curriculum, but what is exactly going on, and why?

It is frequently reported in the press that thousands of additional science and engineering graduates are needed each year and many national initiatives aim to encourage more girls to aspire to such careers. However it is still the case that most pupils decide by the age of 10 that science is “not for them”. They enjoy science, they are good at science, but they think that other people become scientists and engineers. The STEAM initiative aims to encourage more girls to aspire to study science, technology, art and mathematics subjects post 16, but also to develop STEAM skills in all pupils. Not every pupil will aspire to a career in science and engineering, but every pupil will benefit from added exposure to STEAM. Employers and universities are increasingly looking for candidates who have problem solving skills, consider the impact of their decisions, use their imagination, communicate well, work well in teams and cope with frustrations, problems and difficulties. Cross curricular STEAM activities not only help to develop these skills for every pupil, but also show how relevant the subjects of science, technology, engineering and mathematics are to all subjects.

More information is available here about the ASPIRES and ASPIRES 2 studies which track the development of young people’s science and career aspirations and also here about the benefits of keeping options open for possible engineering careers.

This new initiative at Wimbledon High aims to promote STEAM cross curricular activity for all year groups from Reception to Year 13. The Scientist in Residence team consists of experts in computer science, medicine and STEAM teaching and learning, who are able to plan activities that are practical, challenging, engaging and linked to real life situations. Visiting engineers and scientists enrich the projects and links are made to STEAM careers. In the lessons things might go wrong, groups may have to start all over again, team members might disagree and tasks may be really difficult to succeed in. Coping with the epic fails that can occur when imaginatively attempting to solve a STEAM challenge is all part of the benefit though, and there is also a lot of laughter and fun. The lessons can certainly be classed as “serious play”!

These are just a few examples showing how STEAM is beginning to form…

Year 3 launching projectiles ‘Into the Woods” 
• KS3 being creative with Minecraft Education Edition
• Year 7 using their physics knowledge to capture amazing light and colour photographs at the beginning of their art topic
• Year 6 learning about sensors and coding with micro:bits
• Year 1 becoming rocketeers
• Year 7 creating pigments for Joseph’s technicolor dreamcoat in R.S.
• KS3 gaining medical insights into the Black Death in History
• KS3 pupils designing and building a City of Tomorrow
• Year 5 designing ocean grabbers inspired by the R.S.S. Sir David Attenborough
• Year 4 controlling machines built with LEGO WeDo

Year 12 are also beginning a joint project with local schools and scientists from UCL and Imperial College as part of the ORBYTS initiative – Original Research By Young Twinkle Students – an exciting project using mass spectrometry to look at exoplanet atmospheres which includes the opportunity for students to be co-authors on an academic paper. There may even be a robot orchestra in the making, so there is certainly a variety of STEAM forming!

What all of these activities have in common is that they aim to promote STEAM dialogue around the school. The year 6 academic committee have been putting intriguing photographs with an attached question around the school to promote just this sort of discussion, whether it might be year 8 on their way into lunch or parents chatting while waiting to pick up year 2.

 

 

 

What happened here?

 

 

 

We want to show students and adults in our community that STEAM is something done by us all. As an adult yourself you may have felt in the “not for me” category – you might have given up science early, or not felt that it was your best subject. As role models we all need to show that we are interested in talking and getting involved in STEAM, so that no one in our community is in the “not for me” category. Helping with a competition entry, discussing Blue Planet 2, using STEAM news articles or photos as hooks for lessons, all help to inject STEAM into the school community.

Follow us on Twitter @STEAM_WHS to see more of what is going on and look out for future blogs on the importance of building science capital and using STEAM photos to inspire and engage. The following web links are examples of the many cross curricular ideas available for all age groups that could be used in lessons and at home. Create some STEAM!

https://www.stem.org.uk/cross-curricular-topics-resources

https://www.stem.org.uk/welcome-polar-explorer-programme

https://practicalaction.org/challengesinschools

http://www.rigb.org/families/experimental

http://www.rsc.org/learn-chemistry/resources/art/topics